Enhancement of Noisy Speech using Sub-band Harmonic Regeneration and Speech Presence Uncertainty Estimator

被引：0
|
作者：
Kumar, Ravi [1 ]
Subbaiah, P. V. [2 ]
机构：
[1] Lakireddy Balireddy Coll Engn, Dept Elect & Commun Engn, Mylavaram, Vijayawada, India
[2] VR Siddhartha Engn Coll, Dept Elect & Commun Engn, Vijayawada, India
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT) | 2016年
关键词：
Speech enhancement; Harmonic regeneratio; speech presence uncertainty estimation; wavelet packet transform;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a noise reduction technique based on sub-band harmonic regeneration with Speech Presence Uncertainty (SPU). Harmonic Regeneration (HRNR) overcomes the harmonic distortion, which is significant at low SNR values by preserving harmonics. For further noise suppression at low SNRs, Sub-band modification of HRNR gain with weights calculated using speech presence uncertainty is proposed. Objective (SNR, SegSNR, LLR, WSS) performance measures show that the proposed method provides superiority in noise reduction and measures like SNR and SegSNR shows better speech preservation at high SNRs, better noise suppression at low SNRs.
引用
收藏
页码：456 / 460
页数：5
相关论文
共 50 条
  • [1] Sub-band based recognition of noisy speech
    Tibrewala, S
    Hermansky, H
    1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 1255 - 1258
  • [2] Speech enhancement using sub-band cross-correlation compensated Wiener filter combined with harmonic regeneration
    Rao, Ch. V. Rama
    Murthy, M. B. Rama
    Rao, K. Srinivasa
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2012, 66 (06) : 459 - 464
  • [3] Sub-band Knowledge Distillation Framework for Speech Enhancement
    Hao, Xiang
    Wen, Shixue
    Su, Xiangdong
    Liu, Yun
    Gao, Guanglai
    Li, Xiaofei
    INTERSPEECH 2020, 2020, : 2687 - 2691
  • [4] Sub-band adaptive speech enhancement for hearing aids
    Campbell, DR
    ICSLP 96 - FOURTH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, PROCEEDINGS, VOLS 1-4, 1996, : 180 - 183
  • [5] Sub-band adaptive filtering applied to speech enhancement
    Darlington, DJ
    Campbell, DR
    ICSLP 96 - FOURTH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, PROCEEDINGS, VOLS 1-4, 1996, : 921 - 924
  • [6] Sub-band speech recognition
    Primor, D
    Furst-Yust, M
    22ND CONVENTION OF ELECTRICAL AND ELECTRONICS ENGINEERS IN ISRAEL, PROCEEDINGS, 2002, : 10 - 12
  • [7] Speech enhancement using harmonic regeneration
    Plapous, C
    Marro, C
    Scalart, P
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 157 - 160
  • [8] Speech Enhancement using Sub-band Wiener Filter with Pitch Synchronous Analysis
    Sunnydayal, V.
    Kumar, T. Kishore
    2013 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2013, : 20 - 25
  • [9] Binaural sub-band adaptive speech enhancement using artificial neural networks
    Hussain, A
    Campbell, DR
    SPEECH COMMUNICATION, 1998, 25 (1-3) : 177 - 186
  • [10] Speech enhancement in functional MRI environment using adaptive sub-band algorithms
    Ramachandran, Venkat R.
    Kannan, Govind
    Milani, Ali A.
    Panahi, Issa M. S.
    2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PTS 1-3, 2007, : 341 - +
12345